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By Petra Perner

This e-book constitutes the refereed lawsuits of the fifteenth commercial convention on Advances in facts Mining, ICDM 2015, held in Hamburg, Germany, in July 2015.

The sixteen revised complete papers awarded have been rigorously reviewed and chosen from quite a few submissions. the themes variety from theoretical points of knowledge mining to purposes of information mining, similar to in multimedia info, in advertising, in drugs and agriculture, and in strategy regulate, and society.

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Read or Download Advances in Data Mining: Applications and Theoretical Aspects: 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings PDF

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Extra info for Advances in Data Mining: Applications and Theoretical Aspects: 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings

Sample text

Clustering supermarkets: the role of experts. J. Retail. Consum. Serv. 13, 231–247 (2006) 9. : The effect of retail store environment on retailer performance. J. Bus. Res. 49(2), 167–181 (2000) 10. : Data clustering: a review. ACM Comput. Surv. 31(3), 264–323 (1999) 11. : A general coefficient of similarity and some of its properties. J. Biometrics 27 (4), 857–871 (1971) 12. : Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New Jersey (1990) 13. : How to find an appropriate clustering for mixed type variables with application to socio-economic stratification.

Ser. ) 39, 1–38 (1977) 3. : Centroid-based summarization of multiple documents. Inf. Process. Manage. 40(6), 919–938 (2004) 4. : Knowledge acquisition via incremental conceptual clustering. Mach. Learn. 2(2), 139–172 (1987) 5. : Classification, 2nd edn. Taylor and Francis, London (1999) 6. : Clustering large data sets with mixed numeric and categorical values. In: Proceedings of the First Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 21–34 (1997) 7. : Data clustering: 50 years beyond K-means.

281–297 (1967) 10. html 11. 5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo (1993) 12. : A mixed-integer programming approach to the clustering problem with an application in customer segmentation. Eur. J. Oper. Res. 173(3), 866–879 (2006) 13. : Customer segmentation revisited: The case of the airline industry. Transp. Res. Part A: Policy Pract. 42(1), 227–242 (2008) 14. : Automatically labeling hierarchical clusters. In: Proceedings of the 2006 International Conference on Digital Government Research, pp.

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